A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.

Due to the non-stationarity of EEG signals, online training and adaptation are essential to EEG based brain-computer interface (BCI) systems. Self-paced BCIs offer more natural human-machine interaction than synchronous BCIs, but it is a great challenge to train and adapt a self-paced BCI online bec...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 47; no. 3; pp. 257 - 266
Main Authors:	Tsui CS, Gan JQ, Roberts SJ, Tsui, Chun Sing Louis, Gan, John Q, Roberts, Stephen J
Format:	research Journal Article
Published:	Springer Nature Mar2009
Online Access:	View this record in EBSCOhost